Irene Raissa Kameni Kameni

Theoretical bounds on estimation error for meta-learning

2020 · arXiv (Cornell University)

Machine learning models have traditionally been developed under the assumption that the training and test distributions match exactly. However, recent success in few-shot learning and related problems are encouraging signs that these models can be …